Picture for Rashid Ansari

Rashid Ansari

Classification of the Cervical Vertebrae Maturation (CVM) stages Using the Tripod Network

Add code
Nov 15, 2022
Figure 1 for Classification of the Cervical Vertebrae Maturation (CVM) stages Using the Tripod Network
Figure 2 for Classification of the Cervical Vertebrae Maturation (CVM) stages Using the Tripod Network
Figure 3 for Classification of the Cervical Vertebrae Maturation (CVM) stages Using the Tripod Network
Figure 4 for Classification of the Cervical Vertebrae Maturation (CVM) stages Using the Tripod Network
Viaarxiv icon

Improved EEG Classification by factoring in sensor topography

Add code
May 22, 2019
Figure 1 for Improved EEG Classification by factoring in sensor topography
Figure 2 for Improved EEG Classification by factoring in sensor topography
Figure 3 for Improved EEG Classification by factoring in sensor topography
Figure 4 for Improved EEG Classification by factoring in sensor topography
Viaarxiv icon

EEG Classification based on Image Configuration in Social Anxiety Disorder

Add code
Dec 07, 2018
Figure 1 for EEG Classification based on Image Configuration in Social Anxiety Disorder
Figure 2 for EEG Classification based on Image Configuration in Social Anxiety Disorder
Figure 3 for EEG Classification based on Image Configuration in Social Anxiety Disorder
Figure 4 for EEG Classification based on Image Configuration in Social Anxiety Disorder
Viaarxiv icon

Automated Pain Detection from Facial Expressions using FACS: A Review

Add code
Nov 13, 2018
Figure 1 for Automated Pain Detection from Facial Expressions using FACS: A Review
Viaarxiv icon

Learning Pain from Action Unit Combinations: A Weakly Supervised Approach via Multiple Instance Learning

Add code
Feb 20, 2018
Figure 1 for Learning Pain from Action Unit Combinations: A Weakly Supervised Approach via Multiple Instance Learning
Figure 2 for Learning Pain from Action Unit Combinations: A Weakly Supervised Approach via Multiple Instance Learning
Figure 3 for Learning Pain from Action Unit Combinations: A Weakly Supervised Approach via Multiple Instance Learning
Figure 4 for Learning Pain from Action Unit Combinations: A Weakly Supervised Approach via Multiple Instance Learning
Viaarxiv icon

Efficient refinement of GPS-based localization in urban areas using visual information and sensor parameter

Add code
Oct 28, 2015
Figure 1 for Efficient refinement of GPS-based localization in urban areas using visual information and sensor parameter
Figure 2 for Efficient refinement of GPS-based localization in urban areas using visual information and sensor parameter
Figure 3 for Efficient refinement of GPS-based localization in urban areas using visual information and sensor parameter
Figure 4 for Efficient refinement of GPS-based localization in urban areas using visual information and sensor parameter
Viaarxiv icon